MétaCan
Menu
Back to cohort
Record W2753986075 · doi:10.1055/s-0037-1606609

Prevention of RhD Alloimmunization: A Comparison of Four National Guidelines

2017· review· en· W2753986075 on OpenAlexaboutno aff
Jeffrey D. Sperling, Joshua D. Dahlke, Desmond Sutton, Juan M. González, Suneet Chauhan

Bibliographic record

VenueAmerican Journal of Perinatology · 2017
Typereview
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGuidelineFamily medicineAbortionRandomized controlled trialPregnancyMEDLINESystematic reviewPediatricsObstetricsSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to compare national guidelines on the prevention of RhD alloimmunization. STUDY DESIGN: We performed a review of four national guidelines on prevention of alloimmunization from the American Congress of Obstetricians and Gynecologists, Royal College of Obstetricians and Gynaecologists, Society of Obstetricians and Gynaecologists of Canada, and The Royal Australian and New Zealand College of Obstetricians and Gynaecologists. We compared the indications/contraindications, timing, dosing, formulation and route of anti-D immune globulin, and management of unique circumstances. The references were compared with regard to the number of randomized control trials, Cochrane Reviews, and systematic reviews/meta-analyses cited. RESULTS: Variation exists in recommendations on the timing and need for consent prior to routine antenatal anti-D immune globulin administration, prophylaxis for unique circumstances (e.g., threatened abortion < 12 weeks, complete molar pregnancy), and the use of cell-free fetal DNA testing for fetal RhD genotype. CONCLUSION: These variations in recommendations reflect the heterogeneity of the literature on the prevention of alloimmunization and highlight the need for synthesis of evidence to create an international guideline on prevention of alloimmunization. This may improve safety, quality, optimize outcomes, and stimulate future trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.306
GPT teacher head0.521
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of PerinatologySame topicBlood groups and transfusionFrench-language works237,207